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Noncontrast Computed Tomography-Based Radiomics Analysis in Discriminating Early Hematoma Expansion after Spontaneous Intracerebral Hemorrhage.

Zuhua SongDa-Jing GuoZhuoyue TangHuan LiuXin LiSha LuoXueying YaoWenlong SongJunjie SongZhi-Ming Zhou
Published in: Korean journal of radiology (2020)
NCCT models based on multivariable, radiomics features and ML algorithm could improve the discrimination of early HE. The combined model was the best recommended model to identify sICH patients at risk of early HE.
Keyphrases
  • computed tomography
  • machine learning
  • contrast enhanced
  • lymph node metastasis
  • magnetic resonance imaging
  • brain injury
  • squamous cell carcinoma
  • deep learning
  • magnetic resonance
  • pet ct